Retrieve games for a user

Now that you have created the inverted index, let’s use it to retrieve the Game entities played by a User. To handle this, you need to query the inverted index with the User whose Game entities you want to see.

In the code you downloaded, a script is in the application/ directory.

import boto3
from entities import UserGameMapping

dynamodb = boto3.client('dynamodb')

USERNAME = "carrpatrick"

def find_games_for_user(username):
        resp = dynamodb.query(
            KeyConditionExpression="SK = :sk",
                ":sk": { "S": "USER#{}".format(username) }
    except Exception as e:
        print('Index is still backfilling. Please try again in a moment.')
        return None
    return [UserGameMapping(item) for item in resp['Items']]
games = find_games_for_user(USERNAME)

if games:
    print("Games played by {}:".format(USERNAME))
    for game in games:

In this script, you have a function called find_games_for_user() that is similar to a function you would have in your gaming application. This function takes a user name and returns all the games played by the given user.

Run the script in your terminal with the following command:

python application/

The script should print all of the games played by the user carrpatrick.

Games played by carrpatrick:
UserGameMapping<25cec5bf-e498-483e-9a00-a5f93b9ea7c7 --carrpatrick --SILVER>
UserGameMapping<c6f38a6a-d1c5-4bdf-8468-24692ccc4646 --carrpatrick>
UserGameMapping<c9c3917e-30f3-4ba4-82c4-2e9a0e4d1cfd --carrpatrick>


In this module, you satisfied the final access pattern by retrieving all Game entities played by a User. To handle this access pattern, you created a secondary index using the inverted index pattern to allow querying on the other side of the many-to-many relationship between User entities and Game entities.